Human AI collaboration using Thurro Answers

How does the language of the Union Budget evolve as a country moves from ambition, through a global pandemic, and into a period of self-reliant confidence?

In this deep-dive conversation, Akhilesh Tilotia, co-founder, Thurro and Pradip K Saha, head of research, Thurro discuss a unique experiment: using Thurro Answers to analyse eight years(FY2019-FY2026) of Union Budget speeches and Economic Surveys as a single, continuous sequence rather than isolated events.

Beyond the numbers: While most analysts focus on immediate fiscal deficits and market reactions, the Thurro team used AI to track the evolution of intent. Pradip explains how the tonality of the budget shifted from the persuasive dreams of 2019 to the protectionism of the pandemic years, and finally to the execution-led confidence of 2026.

• The human-AI loop: Pradip shares insights into the workflow of a modern researcher. By using simple, consistent prompts, the team generated over 10 Notebooks of data in just 90 minutes, a task that would traditionally take weeks for a team of human analysts.

• Uncovering the forgotten data: One of the most powerful reveals of the experiment was the AI’s ability to recall ‘failed’ schemes or dropped initiatives from years ago that humans had long forgotten, providing a more honest picture of policy evolution.

• The Economic Survey challenge: The team put Thurro Answers to the ultimate test by processing the 700+ page 2026 Economic Survey alongside years of historical data, proving that AI is the only way to read at the speed of modern information.

• Scaling beyond the Budget: The Thurro Answers workflow applies to any longitudinal data, from annual reports to earnings calls and sectoral policy documents, shifting research from static snapshots to high-definition narratives of how a company or country truly evolves over time.